The Role
Leads architecture for modernizing a legacy billing application with AI-assisted development and migrating it to Azure. Responsibilities include completing an AI agent for extracting usage data from documents, designing secure Azure infrastructure, reviewing generated code, planning migration and integration testing, supporting UAT and production deployment, managing parallel production, and documenting architecture and runbooks. Requires strong stakeholder communication and collaboration with onsite and offshore teams.
Summary Generated by Built In
Position: Azure/AI Architect
Location: Hyderabad -Remote
Type: Contract
Shift Timing: 3.00AM - 12.00PM PST (US Pacific Time)
About the Role: We are looking for an AI Architect to lead the technical design on a billing modernization program for a technology client. The work has two parts. First, we rebuild a legacy on-premises billing application using AI-assisted development and finish an AI agent that reads customer usage reports from email. Second, we move the modernized application to Microsoft Azure and run it in parallel with the on-premises version until the results match.
You will work with a US-based solution architect, an offshore engineer and a test lead, and with the client's IT and finance teams.
Job Description:
- Design the target architecture for the modernized application on premises and on Azure.
- Take over an existing AI agent that reads usage reports in PDF, Excel and other formats, then fix its accuracy and finish the approval flow.
- Set up and guide AI-assisted development tools for the rebuild and review the code they produce.
- Design the Azure environment, including security, networking, data and deployment, and get it signed off.
- Plan and run the migration from on premises to Azure, along with system integration testing (SIT) on Azure.
- Support user acceptance testing (UAT), the production deployment and three months of parallel production.
- Write the architecture documents and runbooks and hand over to the support team.
- At least 8 years in software or solution architecture, with at least 2 years building AI or large language model (LLM) solutions.
- Hands-on experience with Azure, including Azure OpenAI, App Service or Functions, Azure SQL and Azure DevOps.
- Experience extracting data from documents such as PDF and Excel and measuring accuracy against a test set.
- Experience modernizing a legacy application and migrating it to the cloud.
- Comfort using AI coding tools such as GitHub Copilot and reviewing generated code.
- Clear writing and the ability to explain design choices to business and IT stakeholders.
Nice to Have:
- Background in billing, revenue or usage-based pricing systems.
- Azure certifications such as Azure Solutions Architect Expert or Azure AI Engineer.
- Experience with NetSuite or other ERP integrations.
Skills Required
- At least 8 years of experience in software or solution architecture
- At least 2 years building AI or large language model solutions
- Hands-on experience with Microsoft Azure
- Experience with Azure OpenAI
- Experience with Azure App Service or Azure Functions
- Experience with Azure SQL
- Experience with Azure DevOps
- Experience extracting data from PDF, Excel, and other documents
- Experience measuring document extraction accuracy against a test set
- Experience modernizing legacy applications and migrating them to the cloud
- Experience using AI coding tools such as GitHub Copilot and reviewing generated code
- Clear writing and ability to explain design choices to business and IT stakeholders
- Background in billing, revenue, or usage-based pricing systems
- Azure Solutions Architect Expert or Azure AI Engineer certification
- Experience with NetSuite or other ERP integrations
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The Company
What We Do
dotSolved, headquartered in Silicon Valley, provides business process automation, modern application engineering, and cloud infrastructure services. It helps small, medium, and large enterprises pursue digital transformation by defining, automating, and optimizing complex processes and engineering data- and analytics-driven applications. The company serves sectors including technology, energy, manufacturing, financial services, media, communications, retail, healthcare, and education, with experience in Big Data, ERP, and supply chain.
